No fraud prevention measures are perfect, but by looking beyond individual data points to the connections that link them your efforts significantly improve. Neo4j uncovers difficult-to-detect patterns that far outstrip the power of a relational database.

Real-time detection

By the time a relational database calculates the complex relationships within a fraud ring, the criminals have already struck and have likely disappeared. A graph database ensures that relationship-oriented queries are conducted in real time, so your anti-fraud team has a chance to strike first.

Anti money laundering (AML)

In addition to outright and direct fraud detection, graph databases are also a powerful weapon against the murky world of money laundering and embezzlement, whether from internal employees or from sophisticated fraudsters posing as wealthy clients.

Challenges

Complex data relationships

Uncovering fraud rings requires you to overcome the computational complexity associated with the traversal of data relationships – a problem that’s exacerbated as a fraud ring grows.

Real-time query performance

Whether you are building an automated fraud detection system that can detect and prevent fraud as it occurs or you are providing a tool to your analysts to help with manual fraud detection, real-time traversal of a complex and highly interconnected set is essential.

Evolving and dynamic targets

Fraud rings are continuously growing in shape and size, and your fraud detection application needs to accommodate this highly dynamic and emerging environment.

Why Neo4j?

Native graph storage

Unlike relational databases, Neo4j stores interconnected data that is neither purely linear nor purely hierarchical, making it easier to detect rings of fraudulent activity regardless of the depth or the shape of the data.

Creating Business Value through Data Relationships

Ready to get started?

Your enterprise is driven by connections – now it's time for your database to do the same. Click below to download and dive into Neo4j for yourself – or download the white paper to learn how graph databases discover connections in today's most cutting-edge fraud detection solutions.

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